Robert M. Nishikawa

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 23

Top Topics

Preliminary Analysis

False Positives

Clustered Microcalcifications

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Digital Mammography / IWDM

Publications

Juhun Lee, Robert M. Nishikawa
Developing a breast lesion simulator and remover in mammograms using Cycle-GAN: focusing on its impacts on a computer aided detection algorithm. Medical Imaging: Computer-Aided Diagnosis (2023)
Juhun Lee, Robert M. Nishikawa
Analyzing GAN artifacts for simulating mammograms: application towards finding mammographically-occult cancer. Medical Imaging: Computer-Aided Diagnosis (2022)
Belayat Hossain, Robert M. Nishikawa, Juhun Lee
Improving lesion detection algorithm in digital breast tomosynthesis leveraging ensemble cross-validation models with multi-depth levels. Medical Imaging: Computer-Aided Diagnosis (2022)
Juhun Lee, Robert M. Nishikawa
Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms. IEEE Trans. Medical Imaging 41 (1) (2022)
Juhun Lee, Robert M. Nishikawa
Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms. CoRR (2021)
Juhun Lee, Robert M. Nishikawa, Andriy Bandos, Margarita L. Zuley
Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis. Medical Imaging: Computer-Aided Diagnosis (2021)
Juhun Lee, Robert M. Nishikawa
Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification. IEEE Access 8 (2020)
Juhun Lee, Robert M. Nishikawa
Simulating breast mammogram using conditional generative adversarial network: application towards finding mammographically-occult cancer. Medical Imaging: Computer-Aided Diagnosis (2020)
Juhun Lee, Robert M. Nishikawa
Detecting mammographically-occult cancer in women with dense breasts using deep convolutional neural network and Radon cumulative distribution transform. Medical Imaging: Computer-Aided Diagnosis (2019)
María V. Sainz de Cea, Robert M. Nishikawa, Yongyi Yang
Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in Mammograms. ISBI (2019)
Nicholas M. D'Ardenne, Robert M. Nishikawa, Margarita L. Zuley, Chia-Chien Wu, Jeremy M. Wolfe
Oculomotor behaviour of radiologists reading digital breast tomosynthesis (DBT). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Juhun Lee, Sung Eun Song, Robert M. Nishikawa
Developing imaging biomarkers for mammographically-occult cancer in dense breasts using a radiologist's progress rating on cancer development: a preliminary analysis. IWBI (2018)
Maria V. Sainz de Cea, Yongyi Yang, Robert M. Nishikawa
Reducing the effect of false positives in classification of detected clustered microcalcifications. ISBI (2018)
Juhun Lee, Robert M. Nishikawa, Gustavo K. Rohde
Detecting mammographically-occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysis. Medical Imaging: Computer-Aided Diagnosis (2018)
Juhun Lee, Robert M. Nishikawa, Ingrid S. Reiser, John M. Boone
Neutrosophic segmentation of breast lesions for dedicated breast CT. Medical Imaging: Computer-Aided Diagnosis (2017)
Maria V. Sainz de Cea, Robert M. Nishikawa, Yongyi Yang
Estimating the Accuracy Level Among Individual Detections in Clustered Microcalcifications. IEEE Trans. Medical Imaging 36 (5) (2017)
Karem D. Marcomini, Eduardo F. C. Fleury, Vilmar M. Oliveira, Antonio A. O. Carneiro, Homero Schiabel, Robert M. Nishikawa
Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography images. Medical Imaging: Computer-Aided Diagnosis (2017)
Juan Wang, Yongyi Yang, Robert M. Nishikawa
Quantitative study of image features of clustered microcalcifications in for-presentation mammograms. ICIP (2016)
Karem D. Marcomini, Eduardo F. C. Fleury, Homero Schiabel, Robert M. Nishikawa
Proposal of Semi-automatic Classification of Breast Lesions for Strain Sonoelastography Using a Dedicated CAD System. Digital Mammography / IWDM (2016)
Christiane M. Hakim, Andriy I. Bandos, Marie A. Ganott, Victor J. Catullo, Denise M. Chough, Amy E. Kelly, Dilip D. Shinde, Jules H. Sumkin, Luisa P. Wallace, Robert M. Nishikawa, David Gur
Changes in frequency of recall recommendations of examinations depicting cancer with the availability of either priors or digital breast tomosynthesis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Robert M. Nishikawa, Christopher E. Comstock, Michael N. Linver, Gillian M. Newstead, Vinay Sandhir, Robert A. Schmidt
Agreement Between Radiologists' Interpretations of Screening Mammograms. Digital Mammography / IWDM (2016)
Juhun Lee, Robert M. Nishikawa, Ingrid S. Reiser, John M. Boone
Can model observers be developed to reproduce radiologists' diagnostic performances? Our study says not so fast! Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Juan Wang, Yongyi Yang, Miles N. Wernick, Robert M. Nishikawa
An image-retrieval aided diagnosis system for clustered microcalcifications. ISBI (2016)
Juan Wang, Yongyi Yang, Miles N. Wernick, Robert M. Nishikawa
Exploring perceptually similar cases with multi-dimensional scaling. Medical Imaging: Computer-Aided Diagnosis (2014)
Robert M. Nishikawa, Andriy Bandos
Predicting the Benefit of Using CADe in Screening Mammography. Digital Mammography / IWDM (2014)
Juan Wang, Yongyi Yang, Robert M. Nishikawa
Reduction of false positive detection in clustered microcalcifications. ICIP (2013)
Hao Jing, Yongyi Yang, Robert M. Nishikawa
Regularization in Retrieval-Driven Classification of Clustered Microcalcifications for Breast Cancer. Int. J. Biomed. Imaging 2012 (2012)
Ingrid S. Reiser, Beverly A. Lau, Robert M. Nishikawa, Predrag R. Bakic
A Directional Small-Scale Tissue Model for an Anthropomorphic Breast Phantom. Digital Mammography / IWDM (2012)
Robert M. Nishikawa
Estimating Sensitivity and Specificity in an ROC Experiment. Digital Mammography / IWDM (2012)
Robert M. Nishikawa
Methods for Evaluating the Effectiveness of Screening Mammography Are Not Necessarily Valid for Evaluating the Effectiveness of Computer-Aided Detection in Screening Mammography. Digital Mammography / IWDM (2012)
Hao Jing, Yongyi Yang, Laura Yarusso, Robert M. Nishikawa
Textural feature comparison between FFDM and film mammograms. ISBI (2011)
Hao Jing, Yongyi Yang, Miles N. Wernick, Laura M. Yarusso, Robert M. Nishikawa
A comparison study of textural features between FFDM and film mammogram images. Medical Imaging: Computer-Aided Diagnosis (2011)
Ingrid S. Reiser, Robert M. Nishikawa
Human Observer Performance in a Single Slice or a Volume: Effect of Background Correlation. Digital Mammography / IWDM (2010)
Robert M. Nishikawa, Lorenzo L. Pesce
Stratified Sampling for Case Selection Criteria for Evaluating CAD. Digital Mammography / IWDM (2010)
Predrag R. Bakic, Beverly A. Lau, Ann-Katherine Carton, Ingrid S. Reiser, Andrew D. A. Maidment, Robert M. Nishikawa
An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections. Digital Mammography / IWDM (2010)
Ingrid S. Reiser, S. P. Joseph, Robert M. Nishikawa, Maryellen L. Giger, John M. Boone, Karen K. Lindfors, A. Edwards, Nathan J. Packard, Richard H. Moore, Daniel B. Kopans
Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images. Medical Imaging: Computer-Aided Diagnosis (2010)
Liyang Wei, Yongyi Yang, Robert M. Nishikawa
Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis. Pattern Recognit. 42 (6) (2009)
Liyang Wei, Yongyi Yang, Miles N. Wernick, Robert M. Nishikawa
Learning of Perceptual Similarity From Expert Readers for Mammogram Retrieval. IEEE J. Sel. Top. Signal Process. 3 (1) (2009)
Laura M. Yarusso, Robert M. Nishikawa
Influence of signal-to-noise ratio and temporal stability on computer-aided detection of mammographic microcalcifications in digitized screen-film and full-field digital mammography. Medical Imaging: Computer-Aided Diagnosis (2008)
Ingrid S. Reiser, Beverly A. Lau, Robert M. Nishikawa
Effect of Scan Angle and Reconstruction Algorithm on Model Observer Performance in Tomosynthesis. Digital Mammography / IWDM (2008)
Robert M. Nishikawa
Current status and future directions of computer-aided diagnosis in mammography. Comput. Medical Imaging Graph. 31 (4-5) (2007)
Yongyi Yang, Liyang Wei, Robert M. Nishikawa
Microcalcification Classification Assisted by Content-Based Image Retrieval for Breast Cancer Diagnosis. ICIP (5) (2007)
Liyang Wei, Yongyi Yang, Robert M. Nishikawa
Retrieval-Driven Microcalcification Classification for Breast Cancer Diagnosis. ISBI (2007)
Ingrid S. Reiser, Emil Y. Sidky, Robert M. Nishikawa, Xiaochuan Pan
Development of an Analytic Breast Phantom for Quantitative Comparison of Reconstruction Algorithms for Digital Breast Tomosynthesis. Digital Mammography / IWDM (2006)
Robert M. Nishikawa
Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography. Digital Mammography / IWDM (2006)
Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew R. Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene A. Sennett
Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. Digital Mammography / IWDM (2006)
Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick
Mammogram Retrieval by Similarity Learning from Experts. ICIP (2006)
Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick
Learning of perceptual similarity from expert readers for mammogram retrieval. ISBI (2006)
Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Yulei Jiang
A study of several CAD methods for classification of clustered microcalcifications. Medical Imaging: Image Processing (2005)
Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick, A. Edwards
Relevance vector machine for automatic detection of clustered microcalcifications. IEEE Trans. Medical Imaging 24 (10) (2005)
Liyang Wei, Yongyi Yang, Robert M. Nishikawa
Relevance vector machine learning for detection of microcalcifications in mammograms. ICIP (1) (2005)
Darrin C. Edwards, Charles E. Metz, Robert M. Nishikawa
The hypervolume under the ROC hypersurface of "Near-Guessing" and Near-Perfect" observers in N-class classification tasks. IEEE Trans. Medical Imaging 24 (3) (2005)
Liyang Wei, Yongyi Yang, Robert M. Nishikawa
A relevance vector machine technique for the automatic detection of clustered microcalcifications (Honorable Mention Poster Award). Medical Imaging: Image Processing (2005)
Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Yulei Jiang
A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications. IEEE Trans. Medical Imaging 24 (3) (2005)
Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Robert M. Nishikawa, Miles N. Wernick
A similarity learning approach to content-based image retrieval: application to digital mammography. IEEE Trans. Medical Imaging 23 (10) (2004)
Ingrid S. Reiser, Emil Y. Sidky, Maryellen Lissak Giger, Robert M. Nishikawa, Elizabeth A. Rafferty, Daniel B. Kopans, Richard H. Moore, Tao Wu
A reconstruction-independent method for computerized mass detection in digital tomosynthesis images of the breast. Medical Imaging: Image Processing (2004)
Karen Drukker, Darrin C. Edwards, Maryellen Lissak Giger, Robert M. Nishikawa, Charles E. Metz
Computerized detection and 3-way classification of breast lesions on ultrasound images. Medical Imaging: Image Processing (2004)
Ingrid S. Reiser, Robert M. Nishikawa, Maryellen L. Giger, Elizabeth A. Rafferty, Daniel B. Kopans, Richard H. Moore, Tao Wu
Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering. CARS (2004)
Yinghui Zhang, Robert M. Nishikawa
Computer simulation of mammographic imaging for applications in CAD. CARS (2004)
Sophie Paquerault, Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt, Carl J. D'Orsi, Carl J. Vyborny, Gillian M. Newstead
Automated selection of BI-RADS lesion descriptors for reporting calcifications in mammograms. Medical Imaging: Image Processing (2003)
Robert M. Nishikawa, Maria Fernanda Salfity, Yulei Jiang, John Papaioannou
Improving the automated classification of clustered calcifications on mammograms through the improved detection of individual calcifications. Medical Imaging: Image Processing (2002)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
A support vector machine approach for detection of microcalcifications in mammograms. ICIP (2) (2002)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
A Support Vector Machine Approach for Detection of Microcalcifications. IEEE Trans. Medical Imaging 21 (11) (2002)
Maryellen Lissak Giger, Zhimin Huo, Carl J. Vyborny, Li Lan, Ioana R. Bonta, Karla Horsch, Robert M. Nishikawa, Ingrid Rosenborough
Intelligent CAD workstation for breast imaging using similarity to known lesions and multiple visual prompt aids. Medical Imaging: Image Processing (2002)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
Support vector machine learning for detection of microcalcifications in mammograms. ISBI (2002)
Francisco L. Valverde, Nicolás Guil, José Muñoz, Robert M. Nishikawa, Kunio Doi
An evaluation criterion for edge detection techniques in noisy images. ICIP (1) (2001)
Darrin C. Edwards, John Papaioannou, Yulei Jiang, Matthew A. Kupinski, Robert M. Nishikawa
Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network. Medical Imaging: Image Processing (2001)
Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa
Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. AIPR (2000)
Hamed Sari-Sarraf, Shaun S. Gleason, Robert M. Nishikawa
Front-end data reduction in computer-aided diagnosis of mammograms: a pilot study. Medical Imaging: Image Processing (1999)
Robert M. Nishikawa, Laura M. Yarusso
Variations in measured performance of CAD schemes due to database composition and scoring protocol. Medical Imaging: Image Processing (1998)
Yulei Jiang, Robert M. Nishikawa, John Papaioannou
Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications. Medical Imaging: Image Processing (1998)
Robert M. Nishikawa, Maryellen L. Giger, Dulcy E. Wolverton, Robert A. Schmidt, Christopher E. Comstock, John Papaioannou, Stephen A. Collins, Kunio Doi
Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases. Digital Mammography / IWDM (1998)
Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt, Charles E. Metz, Maryellen L. Giger, Kunio Doi
Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications. Digital Mammography / IWDM (1998)
Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa
Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach. IEEE Trans. Medical Imaging 17 (6) (1998)
Maryellen L. Giger, Zhimin Huo, Dulcy E. Wolverton, Carl J. Vyborny, Catherine Moran, Robert A. Schmidt, Hania A. Al-Hallaq, Robert M. Nishikawa, Kunio Doi
Computer-Aided Diagnosis of Digital Mammography and Ultrasound Images of Breast Mass Lesions. Digital Mammography / IWDM (1998)
Robert M. Nishikawa, John Papaioannou, Stephen A. Collins
Reproducibility of an automated scheme for the detection of clustered microcalcifications on digital mammograms. Medical Imaging: Image Processing (1996)
Paul Sajda, Clay D. Spence, John C. Pearson, Robert M. Nishikawa
Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications. Medical Imaging: Image Processing (1996)
Hiroyuki Yoshida, Wei Zhang, Weidong Cai, Kunio Doi, Robert M. Nishikawa, Maryellen L. Giger
Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital mammograms. ICIP (3) (1995)
Kenneth R. Hoffmann, Kunio Doi, Heber MacMahon, Maryellen L. Giger, Robert M. Nishikawa, Xin-Wei Xu, Lian Yao, Akiko Kano, Michael Carlin
Development of a digital duplication system for portable chest radiographs. J. Digit. Imaging 7 (3) (1994)